import LTL
DIM=10
#################   优化器模型参数  ##############################
Layers = 2
Hidden_nums = 20
Input_DIM = DIM
Output_DIM = DIM
output_scale_value = 1
batch_size=128
#######   构造一个优化器  #######
LSTM_Optimizee = LTL.LSTM_Optimizee
#######   注意：接上一段的代码！！
#################### Learning to learn (优化optimizee) ######################
Global_Train_Steps =1000 #可修改
Optimizee_Train_Steps = 1200
UnRoll_STEPS = 300
Evaluate_period = 1 #可修改
optimizer_lr = 0.001 #可修改

global_loss_list ,flag = LTL.Learning_to_learn_global_training(   LSTM_Optimizee,
                                                        Global_Train_Steps,
                                                        Optimizee_Train_Steps,
                                                        UnRoll_STEPS,
                                                        Evaluate_period,
                                                          optimizer_lr)
